Dataset statistics
| Number of variables | 40 |
|---|---|
| Number of observations | 244 |
| Missing cells | 678 |
| Missing cells (%) | 6.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 357.8 KiB |
| Average record size in memory | 1.5 KiB |
Variable types
| Categorical | 27 |
|---|---|
| DateTime | 3 |
| Numeric | 8 |
| Unsupported | 2 |
TP_NOT has constant value "2" | Constant |
ID_AGRAVO has constant value "B54" | Constant |
NU_ANO has constant value "2015" | Constant |
ID_REGIONA has constant value "" | Constant |
SG_UF has constant value "33" | Constant |
ID_RG_RESI has constant value "" | Constant |
ID_PAIS has constant value "1" | Constant |
ID_OCUPA_N has a high cardinality: 98 distinct values | High cardinality |
DEXAME has a high cardinality: 128 distinct values | High cardinality |
DTRATA has a high cardinality: 51 distinct values | High cardinality |
SEM_NOT is highly correlated with SEM_PRI | High correlation |
SG_UF_NOT is highly correlated with ID_MUNICIP | High correlation |
ID_MUNICIP is highly correlated with SG_UF_NOT | High correlation |
SEM_PRI is highly correlated with SEM_NOT | High correlation |
SEM_NOT is highly correlated with SEM_PRI | High correlation |
ID_MUNICIP is highly correlated with ID_MN_RESI | High correlation |
SEM_PRI is highly correlated with SEM_NOT | High correlation |
ID_MN_RESI is highly correlated with ID_MUNICIP | High correlation |
COPAISINF is highly correlated with PMM | High correlation |
PMM is highly correlated with COPAISINF | High correlation |
SEM_NOT is highly correlated with SEM_PRI | High correlation |
ID_MUNICIP is highly correlated with ID_MN_RESI | High correlation |
SEM_PRI is highly correlated with SEM_NOT | High correlation |
ID_MN_RESI is highly correlated with ID_MUNICIP | High correlation |
COUFINF is highly correlated with RESULT and 8 other fields | High correlation |
PMM is highly correlated with CS_RACA and 4 other fields | High correlation |
CS_RACA is highly correlated with PMM and 4 other fields | High correlation |
RESULT is highly correlated with COUFINF and 12 other fields | High correlation |
AT_SINTOMA is highly correlated with RESULT and 3 other fields | High correlation |
SG_UF_NOT is highly correlated with ID_MUNICIP | High correlation |
SEM_NOT is highly correlated with DTRATA and 1 other fields | High correlation |
DTRATA is highly correlated with COUFINF and 15 other fields | High correlation |
AT_LAMINA is highly correlated with RESULT and 5 other fields | High correlation |
ID_MUNICIP is highly correlated with SG_UF_NOT | High correlation |
ID_OCUPA_N is highly correlated with COUFINF and 7 other fields | High correlation |
COMUNINF is highly correlated with COUFINF and 9 other fields | High correlation |
CLASSI_FIN is highly correlated with COUFINF and 10 other fields | High correlation |
LOC_INF is highly correlated with COUFINF and 11 other fields | High correlation |
COPAISINF is highly correlated with PMM and 8 other fields | High correlation |
DSTRAESQUE is highly correlated with PMM and 11 other fields | High correlation |
TPAUTOCTO is highly correlated with COUFINF and 7 other fields | High correlation |
CS_GESTANT is highly correlated with CS_SEXO | High correlation |
TRA_ESQUEM is highly correlated with COUFINF and 9 other fields | High correlation |
SEM_PRI is highly correlated with SEM_NOT | High correlation |
AT_ATIVIDA is highly correlated with RESULT and 8 other fields | High correlation |
CS_SEXO is highly correlated with CS_GESTANT | High correlation |
PCRUZ is highly correlated with COUFINF and 11 other fields | High correlation |
ID_MN_RESI is highly correlated with CS_RACA and 3 other fields | High correlation |
COUFINF is highly correlated with ID_REGIONA and 10 other fields | High correlation |
ID_REGIONA is highly correlated with COUFINF and 24 other fields | High correlation |
DTRATA is highly correlated with COUFINF and 14 other fields | High correlation |
CS_ESCOL_N is highly correlated with ID_REGIONA and 6 other fields | High correlation |
ID_OCUPA_N is highly correlated with COUFINF and 7 other fields | High correlation |
DSTRAESQUE is highly correlated with ID_REGIONA and 7 other fields | High correlation |
ID_PAIS is highly correlated with COUFINF and 24 other fields | High correlation |
NU_ANO is highly correlated with COUFINF and 24 other fields | High correlation |
CS_SEXO is highly correlated with ID_REGIONA and 7 other fields | High correlation |
LOC_INF is highly correlated with COUFINF and 11 other fields | High correlation |
SG_UF is highly correlated with COUFINF and 24 other fields | High correlation |
CS_RACA is highly correlated with ID_REGIONA and 6 other fields | High correlation |
RESULT is highly correlated with ID_REGIONA and 13 other fields | High correlation |
AT_SINTOMA is highly correlated with ID_REGIONA and 10 other fields | High correlation |
SG_UF_NOT is highly correlated with ID_REGIONA and 6 other fields | High correlation |
TP_NOT is highly correlated with COUFINF and 24 other fields | High correlation |
AT_LAMINA is highly correlated with ID_REGIONA and 10 other fields | High correlation |
COMUNINF is highly correlated with COUFINF and 10 other fields | High correlation |
TPAUTOCTO is highly correlated with ID_REGIONA and 12 other fields | High correlation |
ID_AGRAVO is highly correlated with COUFINF and 24 other fields | High correlation |
CS_GESTANT is highly correlated with ID_REGIONA and 7 other fields | High correlation |
ID_RG_RESI is highly correlated with COUFINF and 24 other fields | High correlation |
TRA_ESQUEM is highly correlated with ID_REGIONA and 10 other fields | High correlation |
AT_ATIVIDA is highly correlated with ID_REGIONA and 9 other fields | High correlation |
CLASSI_FIN is highly correlated with ID_REGIONA and 13 other fields | High correlation |
PCRUZ is highly correlated with ID_REGIONA and 12 other fields | High correlation |
DT_INVEST has 244 (100.0%) missing values | Missing |
PMM has 190 (77.9%) missing values | Missing |
DT_ENCERRA has 244 (100.0%) missing values | Missing |
DT_INVEST is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
DT_ENCERRA is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
COPAISINF has 175 (71.7%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-06 18:52:03.424048 |
|---|---|
| Analysis finished | 2021-07-06 18:52:24.155716 |
| Duration | 20.73 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 2 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 244 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 244 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 244 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 244 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 244 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 244 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 244 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 244 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.2 KiB |
| B54 |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 732 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | B54 |
|---|---|
| 2nd row | B54 |
| 3rd row | B54 |
| 4th row | B54 |
| 5th row | B54 |
Common Values
| Value | Count | Frequency (%) |
| B54 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| b54 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| B | 244 | |
| 5 | 244 | |
| 4 | 244 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 488 | |
| Uppercase Letter | 244 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 244 | |
| 4 | 244 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 244 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 488 | |
| Latin | 244 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 5 | 244 | |
| 4 | 244 |
Latin
| Value | Count | Frequency (%) |
| B | 244 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 732 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| B | 244 | |
| 5 | 244 | |
| 4 | 244 |
DT_NOTIFIC
Date
| Distinct | 134 |
|---|---|
| Distinct (%) | 54.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| Minimum | 2015-01-02 00:00:00 |
|---|---|
| Maximum | 2015-12-26 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 48 |
|---|---|
| Distinct (%) | 19.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 201517.9016 |
| Minimum | 201453 |
|---|---|
| Maximum | 201551 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 201453 |
|---|---|
| 5-th percentile | 201503 |
| Q1 | 201509 |
| median | 201512 |
| Q3 | 201525.25 |
| 95-th percentile | 201548 |
| Maximum | 201551 |
| Range | 98 |
| Interquartile range (IQR) | 16.25 |
Descriptive statistics
| Standard deviation | 14.50665228 |
|---|---|
| Coefficient of variation (CV) | 7.198691609 × 10-5 |
| Kurtosis | 1.163243467 |
| Mean | 201517.9016 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.6077509865 |
| Sum | 49170368 |
| Variance | 210.4429603 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=48)
| Value | Count | Frequency (%) |
| 201509 | 35 | 14.3% |
| 201510 | 18 | 7.4% |
| 201508 | 16 | 6.6% |
| 201514 | 13 | 5.3% |
| 201511 | 10 | 4.1% |
| 201507 | 10 | 4.1% |
| 201506 | 7 | 2.9% |
| 201545 | 6 | 2.5% |
| 201515 | 6 | 2.5% |
| 201513 | 6 | 2.5% |
| Other values (38) | 117 |
| Value | Count | Frequency (%) |
| 201453 | 1 | 0.4% |
| 201501 | 4 | 1.6% |
| 201502 | 4 | 1.6% |
| 201503 | 5 | 2.0% |
| 201504 | 4 | 1.6% |
| 201505 | 6 | 2.5% |
| 201506 | 7 | 2.9% |
| 201507 | 10 | 4.1% |
| 201508 | 16 | |
| 201509 | 35 |
| Value | Count | Frequency (%) |
| 201551 | 2 | 0.8% |
| 201550 | 6 | |
| 201549 | 4 | |
| 201548 | 2 | 0.8% |
| 201547 | 2 | 0.8% |
| 201546 | 3 | |
| 201545 | 6 | |
| 201544 | 1 | 0.4% |
| 201540 | 2 | 0.8% |
| 201539 | 4 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.7 KiB |
| 2015 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 976 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2015 |
|---|---|
| 2nd row | 2015 |
| 3rd row | 2015 |
| 4th row | 2015 |
| 5th row | 2015 |
Common Values
| Value | Count | Frequency (%) |
| 2015 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2015 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 244 | |
| 0 | 244 | |
| 1 | 244 | |
| 5 | 244 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 976 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 244 | |
| 0 | 244 | |
| 1 | 244 | |
| 5 | 244 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 976 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 244 | |
| 0 | 244 | |
| 1 | 244 | |
| 5 | 244 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 976 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 244 | |
| 0 | 244 | |
| 1 | 244 | |
| 5 | 244 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.2 KiB |
| 33 | |
|---|---|
| 53 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 488 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | 33 |
|---|---|
| 2nd row | 33 |
| 3rd row | 33 |
| 4th row | 33 |
| 5th row | 33 |
Common Values
| Value | Count | Frequency (%) |
| 33 | 243 | |
| 53 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 33 | 243 | |
| 53 | 1 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 487 | |
| 5 | 1 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 488 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 487 | |
| 5 | 1 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 488 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 487 | |
| 5 | 1 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 488 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 487 | |
| 5 | 1 | 0.2% |
| Distinct | 18 |
|---|---|
| Distinct (%) | 7.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 331223.2049 |
| Minimum | 330010 |
|---|---|
| Maximum | 530010 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 330010 |
|---|---|
| 5-th percentile | 330240 |
| Q1 | 330340 |
| median | 330455 |
| Q3 | 330455 |
| 95-th percentile | 330455 |
| Maximum | 530010 |
| Range | 200000 |
| Interquartile range (IQR) | 115 |
Descriptive statistics
| Standard deviation | 12778.74515 |
|---|---|
| Coefficient of variation (CV) | 0.03858046466 |
| Kurtosis | 243.9726141 |
| Mean | 331223.2049 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 15.61918918 |
| Sum | 80818462 |
| Variance | 163296327.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 330455 | 166 | |
| 330240 | 25 | 10.2% |
| 330340 | 24 | 9.8% |
| 330330 | 7 | 2.9% |
| 330250 | 3 | 1.2% |
| 330490 | 3 | 1.2% |
| 330170 | 3 | 1.2% |
| 330185 | 2 | 0.8% |
| 330610 | 2 | 0.8% |
| 330150 | 1 | 0.4% |
| Other values (8) | 8 | 3.3% |
| Value | Count | Frequency (%) |
| 330010 | 1 | 0.4% |
| 330040 | 1 | 0.4% |
| 330070 | 1 | 0.4% |
| 330150 | 1 | 0.4% |
| 330170 | 3 | 1.2% |
| 330185 | 2 | 0.8% |
| 330240 | 25 | |
| 330250 | 3 | 1.2% |
| 330330 | 7 | 2.9% |
| 330340 | 24 |
| Value | Count | Frequency (%) |
| 530010 | 1 | 0.4% |
| 330630 | 1 | 0.4% |
| 330610 | 2 | 0.8% |
| 330490 | 3 | 1.2% |
| 330455 | 166 | |
| 330452 | 1 | 0.4% |
| 330430 | 1 | 0.4% |
| 330350 | 1 | 0.4% |
| 330340 | 24 | 9.8% |
| 330330 | 7 | 2.9% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.7 KiB |
Length
| Max length | 0 |
|---|---|
| Median length | 0 |
| Mean length | 0 |
| Min length | 0 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | |
|---|---|
| 2nd row | |
| 3rd row | |
| 4th row | |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
ID_UNIDADE
Real number (ℝ≥0)
| Distinct | 77 |
|---|---|
| Distinct (%) | 31.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2840699.361 |
| Minimum | 69 |
|---|---|
| Maximum | 7642415 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 69 |
|---|---|
| 5-th percentile | 2269783 |
| Q1 | 2276534 |
| median | 2288338 |
| Q3 | 3005992 |
| 95-th percentile | 5465428.35 |
| Maximum | 7642415 |
| Range | 7642346 |
| Interquartile range (IQR) | 729458 |
Descriptive statistics
| Standard deviation | 1345263.264 |
|---|---|
| Coefficient of variation (CV) | 0.47356763 |
| Kurtosis | 2.584384319 |
| Mean | 2840699.361 |
| Median Absolute Deviation (MAD) | 11804 |
| Skewness | 1.554737087 |
| Sum | 693130644 |
| Variance | 1.809733249 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2288338 | 87 | |
| 2276534 | 23 | 9.4% |
| 5462886 | 18 | 7.4% |
| 3005992 | 13 | 5.3% |
| 2271885 | 9 | 3.7% |
| 2272784 | 8 | 3.3% |
| 2269783 | 4 | 1.6% |
| 2273365 | 2 | 0.8% |
| 3607720 | 2 | 0.8% |
| 3211649 | 2 | 0.8% |
| Other values (67) | 76 |
| Value | Count | Frequency (%) |
| 69 | 1 | |
| 76 | 1 | |
| 12513 | 1 | |
| 12548 | 1 | |
| 12599 | 1 | |
| 12831 | 1 | |
| 26050 | 1 | |
| 2269546 | 1 | |
| 2269554 | 1 | |
| 2269651 | 2 |
| Value | Count | Frequency (%) |
| 7642415 | 1 | |
| 7458940 | 1 | |
| 6995462 | 1 | |
| 6938124 | 1 | |
| 6793231 | 1 | |
| 6753469 | 2 | |
| 6734014 | 1 | |
| 6427138 | 1 | |
| 6146376 | 1 | |
| 5476321 | 2 |
DT_SIN_PRI
Date
| Distinct | 153 |
|---|---|
| Distinct (%) | 62.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| Minimum | 2014-09-30 00:00:00 |
|---|---|
| Maximum | 2015-12-25 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 52 |
|---|---|
| Distinct (%) | 21.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 201515.3607 |
| Minimum | 201440 |
|---|---|
| Maximum | 201551 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 201440 |
|---|---|
| 5-th percentile | 201502 |
| Q1 | 201507 |
| median | 201510 |
| Q3 | 201524 |
| 95-th percentile | 201545 |
| Maximum | 201551 |
| Range | 111 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 16.53158373 |
|---|---|
| Coefficient of variation (CV) | 8.203634538 × 10-5 |
| Kurtosis | 3.969377108 |
| Mean | 201515.3607 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.5789124383 |
| Sum | 49169748 |
| Variance | 273.2932605 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 201508 | 23 | 9.4% |
| 201509 | 21 | 8.6% |
| 201505 | 17 | 7.0% |
| 201507 | 17 | 7.0% |
| 201506 | 11 | 4.5% |
| 201513 | 10 | 4.1% |
| 201503 | 8 | 3.3% |
| 201514 | 8 | 3.3% |
| 201510 | 7 | 2.9% |
| 201537 | 7 | 2.9% |
| Other values (42) | 115 |
| Value | Count | Frequency (%) |
| 201440 | 1 | 0.4% |
| 201451 | 1 | 0.4% |
| 201452 | 2 | 0.8% |
| 201453 | 1 | 0.4% |
| 201501 | 5 | 2.0% |
| 201502 | 6 | 2.5% |
| 201503 | 8 | |
| 201504 | 3 | 1.2% |
| 201505 | 17 | |
| 201506 | 11 |
| Value | Count | Frequency (%) |
| 201551 | 1 | 0.4% |
| 201550 | 2 | |
| 201549 | 4 | |
| 201548 | 1 | 0.4% |
| 201547 | 1 | 0.4% |
| 201546 | 3 | |
| 201545 | 4 | |
| 201544 | 4 | |
| 201543 | 1 | 0.4% |
| 201541 | 1 | 0.4% |
DT_NASC
Date
| Distinct | 233 |
|---|---|
| Distinct (%) | 95.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| Minimum | 1940-04-17 00:00:00 |
|---|---|
| Maximum | 2014-05-05 00:00:00 |
Histogram with fixed size bins (bins=50)
NU_IDADE_N
Real number (ℝ≥0)
| Distinct | 64 |
|---|---|
| Distinct (%) | 26.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4035.172131 |
| Minimum | 3010 |
|---|---|
| Maximum | 4074 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 3010 |
|---|---|
| 5-th percentile | 4010 |
| Q1 | 4028 |
| median | 4039 |
| Q3 | 4052 |
| 95-th percentile | 4066.85 |
| Maximum | 4074 |
| Range | 1064 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 67.88009189 |
|---|---|
| Coefficient of variation (CV) | 0.01682210565 |
| Kurtosis | 216.4219365 |
| Mean | 4035.172131 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -14.28346634 |
| Sum | 984582 |
| Variance | 4607.706874 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4028 | 12 | 4.9% |
| 4033 | 11 | 4.5% |
| 4040 | 9 | 3.7% |
| 4034 | 9 | 3.7% |
| 4057 | 8 | 3.3% |
| 4042 | 7 | 2.9% |
| 4031 | 7 | 2.9% |
| 4051 | 7 | 2.9% |
| 4052 | 7 | 2.9% |
| 4002 | 6 | 2.5% |
| Other values (54) | 161 |
| Value | Count | Frequency (%) |
| 3010 | 1 | 0.4% |
| 4002 | 6 | |
| 4004 | 1 | 0.4% |
| 4007 | 2 | 0.8% |
| 4008 | 2 | 0.8% |
| 4010 | 2 | 0.8% |
| 4013 | 2 | 0.8% |
| 4014 | 1 | 0.4% |
| 4015 | 1 | 0.4% |
| 4016 | 3 |
| Value | Count | Frequency (%) |
| 4074 | 2 | |
| 4072 | 3 | |
| 4071 | 2 | |
| 4069 | 1 | 0.4% |
| 4068 | 3 | |
| 4067 | 2 | |
| 4066 | 1 | 0.4% |
| 4065 | 4 | |
| 4064 | 1 | 0.4% |
| 4063 | 1 | 0.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.9 KiB |
| M | |
|---|---|
| F |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 244 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | M |
|---|---|
| 2nd row | F |
| 3rd row | M |
| 4th row | M |
| 5th row | M |
Common Values
| Value | Count | Frequency (%) |
| M | 173 | |
| F | 71 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| m | 173 | |
| f | 71 |
Most occurring characters
| Value | Count | Frequency (%) |
| M | 173 | |
| F | 71 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 244 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 173 | |
| F | 71 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 244 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| M | 173 | |
| F | 71 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 244 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| M | 173 | |
| F | 71 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 6 | |
|---|---|
| 5 | |
| 9 | 6 |
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 244 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | 6 |
|---|---|
| 2nd row | 5 |
| 3rd row | 6 |
| 4th row | 6 |
| 5th row | 6 |
Common Values
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 244 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 244 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 244 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 48 | 19.7% |
| 9 | 6 | 2.5% |
| 1 | 1 | 0.4% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.8 KiB |
| 1 | |
|---|---|
| 9 | |
| 4 | |
| 2 | |
| 7 | |
| Other values (2) | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 0.9713114754 |
| Min length | 0 |
Characters and Unicode
| Total characters | 237 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 2 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.4% |
| 2 | 21 | 8.6% |
| 7 | 2.9% | |
| 5 | 1 | 0.4% |
| 3 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.7% |
| 2 | 21 | 8.9% |
| 5 | 1 | 0.4% |
| 3 | 1 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.7% |
| 2 | 21 | 8.9% |
| 3 | 1 | 0.4% |
| 5 | 1 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.7% |
| 2 | 21 | 8.9% |
| 3 | 1 | 0.4% |
| 5 | 1 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.7% |
| 2 | 21 | 8.9% |
| 3 | 1 | 0.4% |
| 5 | 1 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 120 | |
| 9 | 71 | |
| 4 | 23 | 9.7% |
| 2 | 21 | 8.9% |
| 3 | 1 | 0.4% |
| 5 | 1 | 0.4% |
| Distinct | 12 |
|---|---|
| Distinct (%) | 4.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.2 KiB |
| 08 | |
|---|---|
| 09 | |
| 06 | |
| 07 | |
| Other values (7) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 1.893442623 |
| Min length | 0 |
Characters and Unicode
| Total characters | 462 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 10 |
|---|---|
| 2nd row | 08 |
| 3rd row | 08 |
| 4th row | 07 |
| 5th row | 08 |
Common Values
| Value | Count | Frequency (%) |
| 08 | 97 | |
| 09 | 58 | |
| 06 | 19 | 7.8% |
| 13 | 5.3% | |
| 07 | 11 | 4.5% |
| 05 | 11 | 4.5% |
| 10 | 8 | 3.3% |
| 03 | 8 | 3.3% |
| 01 | 7 | 2.9% |
| 02 | 5 | 2.0% |
| Other values (2) | 7 | 2.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 08 | 97 | |
| 09 | 58 | |
| 06 | 19 | 8.2% |
| 07 | 11 | 4.8% |
| 05 | 11 | 4.8% |
| 10 | 8 | 3.5% |
| 03 | 8 | 3.5% |
| 01 | 7 | 3.0% |
| 02 | 5 | 2.2% |
| 04 | 4 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 234 | |
| 8 | 97 | |
| 9 | 58 | 12.6% |
| 6 | 19 | 4.1% |
| 1 | 15 | 3.2% |
| 7 | 11 | 2.4% |
| 5 | 11 | 2.4% |
| 3 | 8 | 1.7% |
| 2 | 5 | 1.1% |
| 4 | 4 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 462 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 234 | |
| 8 | 97 | |
| 9 | 58 | 12.6% |
| 6 | 19 | 4.1% |
| 1 | 15 | 3.2% |
| 7 | 11 | 2.4% |
| 5 | 11 | 2.4% |
| 3 | 8 | 1.7% |
| 2 | 5 | 1.1% |
| 4 | 4 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 462 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 234 | |
| 8 | 97 | |
| 9 | 58 | 12.6% |
| 6 | 19 | 4.1% |
| 1 | 15 | 3.2% |
| 7 | 11 | 2.4% |
| 5 | 11 | 2.4% |
| 3 | 8 | 1.7% |
| 2 | 5 | 1.1% |
| 4 | 4 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 462 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 234 | |
| 8 | 97 | |
| 9 | 58 | 12.6% |
| 6 | 19 | 4.1% |
| 1 | 15 | 3.2% |
| 7 | 11 | 2.4% |
| 5 | 11 | 2.4% |
| 3 | 8 | 1.7% |
| 2 | 5 | 1.1% |
| 4 | 4 | 0.9% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.2 KiB |
| 33 |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 488 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 33 |
|---|---|
| 2nd row | 33 |
| 3rd row | 33 |
| 4th row | 33 |
| 5th row | 33 |
Common Values
| Value | Count | Frequency (%) |
| 33 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 33 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 488 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 488 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 488 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 488 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 488 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 488 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 488 |
| Distinct | 26 |
|---|---|
| Distinct (%) | 10.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 330376.1762 |
| Minimum | 330010 |
|---|---|
| Maximum | 330630 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 330010 |
|---|---|
| 5-th percentile | 330170 |
| Q1 | 330330 |
| median | 330455 |
| Q3 | 330455 |
| 95-th percentile | 330455 |
| Maximum | 330630 |
| Range | 620 |
| Interquartile range (IQR) | 125 |
Descriptive statistics
| Standard deviation | 116.4247832 |
|---|---|
| Coefficient of variation (CV) | 0.0003524006618 |
| Kurtosis | 0.4681075846 |
| Mean | 330376.1762 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.9495002607 |
| Sum | 80611787 |
| Variance | 13554.73013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 330455 | 126 | |
| 330340 | 27 | 11.1% |
| 330240 | 24 | 9.8% |
| 330330 | 20 | 8.2% |
| 330170 | 6 | 2.5% |
| 330190 | 5 | 2.0% |
| 330490 | 4 | 1.6% |
| 330350 | 3 | 1.2% |
| 330185 | 3 | 1.2% |
| 330250 | 3 | 1.2% |
| Other values (16) | 23 | 9.4% |
| Value | Count | Frequency (%) |
| 330010 | 1 | 0.4% |
| 330023 | 1 | 0.4% |
| 330040 | 3 | |
| 330070 | 2 | 0.8% |
| 330130 | 1 | 0.4% |
| 330150 | 3 | |
| 330170 | 6 | |
| 330185 | 3 | |
| 330190 | 5 | |
| 330200 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 330630 | 1 | 0.4% |
| 330610 | 2 | 0.8% |
| 330590 | 1 | 0.4% |
| 330580 | 1 | 0.4% |
| 330560 | 1 | 0.4% |
| 330490 | 4 | 1.6% |
| 330455 | 126 | |
| 330452 | 2 | 0.8% |
| 330430 | 1 | 0.4% |
| 330360 | 1 | 0.4% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.7 KiB |
Length
| Max length | 0 |
|---|---|
| Median length | 0 |
| Mean length | 0 |
| Min length | 0 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | |
|---|---|
| 2nd row | |
| 3rd row | |
| 4th row | |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 244 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 244 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 244 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 244 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 244 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 244 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 244 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 244 |
| Distinct | 98 |
|---|---|
| Distinct (%) | 40.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.0 KiB |
| 999991 | |
|---|---|
| 214205 | 12 |
| 999993 | 8 |
| 262105 | 4 |
| Other values (93) |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 4.401639344 |
| Min length | 0 |
Characters and Unicode
| Total characters | 1074 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 69 ? |
|---|---|
| Unique (%) | 28.3% |
Sample
| 1st row | |
|---|---|
| 2nd row | 221105 |
| 3rd row | |
| 4th row | 782305 |
| 5th row | 262105 |
Common Values
| Value | Count | Frequency (%) |
| 65 | ||
| 999991 | 26 | 10.7% |
| 214205 | 12 | 4.9% |
| 999993 | 8 | 3.3% |
| 262105 | 4 | 1.6% |
| 241005 | 4 | 1.6% |
| 252105 | 4 | 1.6% |
| 221105 | 4 | 1.6% |
| 999992 | 3 | 1.2% |
| 715210 | 3 | 1.2% |
| Other values (88) | 111 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 999991 | 26 | 14.5% |
| 214205 | 12 | 6.7% |
| 999993 | 8 | 4.5% |
| 241005 | 4 | 2.2% |
| 252105 | 4 | 2.2% |
| 221105 | 4 | 2.2% |
| 262105 | 4 | 2.2% |
| 223115 | 3 | 1.7% |
| 782305 | 3 | 1.7% |
| 715210 | 3 | 1.7% |
| Other values (87) | 108 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 200 | |
| 9 | 199 | |
| 2 | 170 | |
| 5 | 152 | |
| 0 | 145 | |
| 3 | 77 | 7.2% |
| 4 | 66 | 6.1% |
| 7 | 29 | 2.7% |
| 6 | 26 | 2.4% |
| 8 | 10 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1074 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 200 | |
| 9 | 199 | |
| 2 | 170 | |
| 5 | 152 | |
| 0 | 145 | |
| 3 | 77 | 7.2% |
| 4 | 66 | 6.1% |
| 7 | 29 | 2.7% |
| 6 | 26 | 2.4% |
| 8 | 10 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1074 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 200 | |
| 9 | 199 | |
| 2 | 170 | |
| 5 | 152 | |
| 0 | 145 | |
| 3 | 77 | 7.2% |
| 4 | 66 | 6.1% |
| 7 | 29 | 2.7% |
| 6 | 26 | 2.4% |
| 8 | 10 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1074 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 200 | |
| 9 | 199 | |
| 2 | 170 | |
| 5 | 152 | |
| 0 | 145 | |
| 3 | 77 | 7.2% |
| 4 | 66 | 6.1% |
| 7 | 29 | 2.7% |
| 6 | 26 | 2.4% |
| 8 | 10 | 0.9% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.8 KiB |
| 2 | |
|---|---|
| 1 | |
| 8 | 4 |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 0.9959016393 |
| Min length | 0 |
Characters and Unicode
| Total characters | 243 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 1 |
| 3rd row | 2 |
| 4th row | 1 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 27.9% |
| 8 | 4 | 1.6% |
| 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 28.0% |
| 8 | 4 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 28.0% |
| 8 | 4 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 243 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 28.0% |
| 8 | 4 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 243 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 28.0% |
| 8 | 4 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 243 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 171 | |
| 1 | 68 | 28.0% |
| 8 | 4 | 1.6% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 16.6 KiB |
| 11 | |
|---|---|
| 10 | |
| 4 | |
| 99 | |
| 3 | |
| Other values (5) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 1.659836066 |
| Min length | 0 |
Characters and Unicode
| Total characters | 405 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 11 |
|---|---|
| 2nd row | 10 |
| 3rd row | 4 |
| 4th row | 11 |
| 5th row | 10 |
Common Values
| Value | Count | Frequency (%) |
| 11 | 75 | |
| 10 | 72 | |
| 4 | 50 | |
| 99 | 17 | 7.0% |
| 3 | 9 | 3.7% |
| 9 | 6 | 2.5% |
| 6 | 2.5% | |
| 1 | 4 | 1.6% |
| 12 | 3 | 1.2% |
| 5 | 2 | 0.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 11 | 75 | |
| 10 | 72 | |
| 4 | 50 | |
| 99 | 17 | 7.1% |
| 3 | 9 | 3.8% |
| 9 | 6 | 2.5% |
| 1 | 4 | 1.7% |
| 12 | 3 | 1.3% |
| 5 | 2 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 229 | |
| 0 | 72 | 17.8% |
| 4 | 50 | 12.3% |
| 9 | 40 | 9.9% |
| 3 | 9 | 2.2% |
| 2 | 3 | 0.7% |
| 5 | 2 | 0.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 405 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 229 | |
| 0 | 72 | 17.8% |
| 4 | 50 | 12.3% |
| 9 | 40 | 9.9% |
| 3 | 9 | 2.2% |
| 2 | 3 | 0.7% |
| 5 | 2 | 0.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 405 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 229 | |
| 0 | 72 | 17.8% |
| 4 | 50 | 12.3% |
| 9 | 40 | 9.9% |
| 3 | 9 | 2.2% |
| 2 | 3 | 0.7% |
| 5 | 2 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 405 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 229 | |
| 0 | 72 | 17.8% |
| 4 | 50 | 12.3% |
| 9 | 40 | 9.9% |
| 3 | 9 | 2.2% |
| 2 | 3 | 0.7% |
| 5 | 2 | 0.5% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.8 KiB |
| 1 | |
|---|---|
| 2 | |
| 6 | |
| 3 | 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 0.9754098361 |
| Min length | 0 |
Characters and Unicode
| Total characters | 238 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 2 |
| 3rd row | 1 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 6 | 2.5% | |
| 3 | 3 | 1.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 3 | 3 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 3 | 3 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 238 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 3 | 3 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 238 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 3 | 3 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 238 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 166 | |
| 2 | 69 | |
| 3 | 3 | 1.3% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.8 KiB |
| 1 | |
|---|---|
| 2 | 15 |
| 6 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 0.9754098361 |
| Min length | 0 |
Characters and Unicode
| Total characters | 238 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.1% |
| 6 | 2.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 238 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 238 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 238 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 223 | |
| 2 | 15 | 6.3% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.0 KiB |
| 2 | |
|---|---|
| 1 | 11 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 0 |
| Mean length | 0.2868852459 |
| Min length | 0 |
Characters and Unicode
| Total characters | 70 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | |
|---|---|
| 2nd row | 2 |
| 3rd row | |
| 4th row | 2 |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 174 | ||
| 2 | 58 | 23.8% |
| 1 | 11 | 4.5% |
| 3 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 58 | |
| 1 | 11 | 15.7% |
| 3 | 1 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 58 | |
| 1 | 11 | 15.7% |
| 3 | 1 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 70 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 58 | |
| 1 | 11 | 15.7% |
| 3 | 1 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 70 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 58 | |
| 1 | 11 | 15.7% |
| 3 | 1 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 70 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 58 | |
| 1 | 11 | 15.7% |
| 3 | 1 | 1.4% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.1 KiB |
| RJ | |
|---|---|
| AM | 4 |
| AP | 2 |
| SP | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 0 |
| Mean length | 0.3524590164 |
| Min length | 0 |
Characters and Unicode
| Total characters | 86 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | |
|---|---|
| 2nd row | AM |
| 3rd row | |
| 4th row | |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 201 | ||
| RJ | 35 | 14.3% |
| AM | 4 | 1.6% |
| AP | 2 | 0.8% |
| SP | 1 | 0.4% |
| MA | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| rj | 35 | |
| am | 4 | 9.3% |
| ap | 2 | 4.7% |
| ma | 1 | 2.3% |
| sp | 1 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| R | 35 | |
| J | 35 | |
| A | 7 | 8.1% |
| M | 5 | 5.8% |
| P | 3 | 3.5% |
| S | 1 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 86 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 35 | |
| J | 35 | |
| A | 7 | 8.1% |
| M | 5 | 5.8% |
| P | 3 | 3.5% |
| S | 1 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 86 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| R | 35 | |
| J | 35 | |
| A | 7 | 8.1% |
| M | 5 | 5.8% |
| P | 3 | 3.5% |
| S | 1 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 86 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| R | 35 | |
| J | 35 | |
| A | 7 | 8.1% |
| M | 5 | 5.8% |
| P | 3 | 3.5% |
| S | 1 | 1.2% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.422131148 |
| Minimum | 0 |
|---|---|
| Maximum | 176 |
| Zeros | 175 |
| Zeros (%) | 71.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 31 |
| Maximum | 176 |
| Range | 176 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 24.50980492 |
|---|---|
| Coefficient of variation (CV) | 3.816459732 |
| Kurtosis | 26.45366574 |
| Mean | 6.422131148 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.050835183 |
| Sum | 1567 |
| Variance | 600.730537 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 175 | |
| 1 | 43 | 17.6% |
| 31 | 15 | 6.1% |
| 138 | 3 | 1.2% |
| 22 | 2 | 0.8% |
| 176 | 1 | 0.4% |
| 153 | 1 | 0.4% |
| 128 | 1 | 0.4% |
| 109 | 1 | 0.4% |
| 28 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 175 | |
| 1 | 43 | 17.6% |
| 7 | 1 | 0.4% |
| 22 | 2 | 0.8% |
| 28 | 1 | 0.4% |
| 31 | 15 | 6.1% |
| 109 | 1 | 0.4% |
| 128 | 1 | 0.4% |
| 138 | 3 | 1.2% |
| 153 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 176 | 1 | 0.4% |
| 153 | 1 | 0.4% |
| 138 | 3 | 1.2% |
| 128 | 1 | 0.4% |
| 109 | 1 | 0.4% |
| 31 | 15 | 6.1% |
| 28 | 1 | 0.4% |
| 22 | 2 | 0.8% |
| 7 | 1 | 0.4% |
| 1 | 43 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.7 KiB |
| 330340 | 14 |
|---|---|
| 330290 | 5 |
| 330240 | 4 |
| 330185 | 3 |
| Other values (11) | 16 |
Length
| Max length | 6 |
|---|---|
| Median length | 0 |
| Mean length | 1.032786885 |
| Min length | 0 |
Characters and Unicode
| Total characters | 252 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 7 ? |
|---|---|
| Unique (%) | 2.9% |
Sample
| 1st row | |
|---|---|
| 2nd row | 130260 |
| 3rd row | |
| 4th row | |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 202 | ||
| 330340 | 14 | 5.7% |
| 330290 | 5 | 2.0% |
| 330240 | 4 | 1.6% |
| 330185 | 3 | 1.2% |
| 330390 | 3 | 1.2% |
| 330250 | 2 | 0.8% |
| 160030 | 2 | 0.8% |
| 130120 | 2 | 0.8% |
| 130260 | 1 | 0.4% |
| Other values (6) | 6 | 2.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 330340 | 14 | |
| 330290 | 5 | 11.9% |
| 330240 | 4 | 9.5% |
| 330185 | 3 | 7.1% |
| 330390 | 3 | 7.1% |
| 330250 | 2 | 4.8% |
| 160030 | 2 | 4.8% |
| 130120 | 2 | 4.8% |
| 130260 | 1 | 2.4% |
| 330580 | 1 | 2.4% |
| Other values (5) | 5 | 11.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 93 | |
| 0 | 84 | |
| 4 | 19 | 7.5% |
| 2 | 16 | 6.3% |
| 1 | 13 | 5.2% |
| 5 | 10 | 4.0% |
| 9 | 8 | 3.2% |
| 8 | 5 | 2.0% |
| 6 | 3 | 1.2% |
| 7 | 1 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 252 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 93 | |
| 0 | 84 | |
| 4 | 19 | 7.5% |
| 2 | 16 | 6.3% |
| 1 | 13 | 5.2% |
| 5 | 10 | 4.0% |
| 9 | 8 | 3.2% |
| 8 | 5 | 2.0% |
| 6 | 3 | 1.2% |
| 7 | 1 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 252 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 93 | |
| 0 | 84 | |
| 4 | 19 | 7.5% |
| 2 | 16 | 6.3% |
| 1 | 13 | 5.2% |
| 5 | 10 | 4.0% |
| 9 | 8 | 3.2% |
| 8 | 5 | 2.0% |
| 6 | 3 | 1.2% |
| 7 | 1 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 252 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 93 | |
| 0 | 84 | |
| 4 | 19 | 7.5% |
| 2 | 16 | 6.3% |
| 1 | 13 | 5.2% |
| 5 | 10 | 4.0% |
| 9 | 8 | 3.2% |
| 8 | 5 | 2.0% |
| 6 | 3 | 1.2% |
| 7 | 1 | 0.4% |
| Distinct | 17 |
|---|---|
| Distinct (%) | 7.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.7 KiB |
| LUAN | 9 |
|---|---|
| VALE | 7 |
| LUMI | 5 |
| SANA | 3 |
| Other values (12) | 17 |
Length
| Max length | 4 |
|---|---|
| Median length | 0 |
| Mean length | 0.6680327869 |
| Min length | 0 |
Characters and Unicode
| Total characters | 163 |
|---|---|
| Distinct characters | 20 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 8 ? |
|---|---|
| Unique (%) | 3.3% |
Sample
| 1st row | |
|---|---|
| 2nd row | |
| 3rd row | |
| 4th row | LUAN |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 203 | ||
| LUAN | 9 | 3.7% |
| VALE | 7 | 2.9% |
| LUMI | 5 | 2.0% |
| SANA | 3 | 1.2% |
| ANGO | 3 | 1.2% |
| MACA | 2 | 0.8% |
| MONT | 2 | 0.8% |
| BENF | 2 | 0.8% |
| SAO | 1 | 0.4% |
| Other values (7) | 7 | 2.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| luan | 9 | |
| vale | 7 | |
| lumi | 5 | |
| ango | 3 | 7.3% |
| sana | 3 | 7.3% |
| mont | 2 | 4.9% |
| maca | 2 | 4.9% |
| benf | 2 | 4.9% |
| serr | 1 | 2.4% |
| pedr | 1 | 2.4% |
| Other values (6) | 6 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 34 | |
| L | 21 | |
| N | 20 | |
| E | 15 | |
| U | 14 | |
| M | 12 | 7.4% |
| V | 8 | 4.9% |
| O | 7 | 4.3% |
| I | 5 | 3.1% |
| S | 5 | 3.1% |
| Other values (10) | 22 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 163 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 34 | |
| L | 21 | |
| N | 20 | |
| E | 15 | |
| U | 14 | |
| M | 12 | 7.4% |
| V | 8 | 4.9% |
| O | 7 | 4.3% |
| I | 5 | 3.1% |
| S | 5 | 3.1% |
| Other values (10) | 22 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 163 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 34 | |
| L | 21 | |
| N | 20 | |
| E | 15 | |
| U | 14 | |
| M | 12 | 7.4% |
| V | 8 | 4.9% |
| O | 7 | 4.3% |
| I | 5 | 3.1% |
| S | 5 | 3.1% |
| Other values (10) | 22 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 163 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 34 | |
| L | 21 | |
| N | 20 | |
| E | 15 | |
| U | 14 | |
| M | 12 | 7.4% |
| V | 8 | 4.9% |
| O | 7 | 4.3% |
| I | 5 | 3.1% |
| S | 5 | 3.1% |
| Other values (10) | 22 |
| Distinct | 128 |
|---|---|
| Distinct (%) | 52.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 16.1 KiB |
| 2015-03-02 | 12 |
|---|---|
| 2015-03-06 | 8 |
| 2015-02-27 | 8 |
| 2015-03-05 | 7 |
| None | 6 |
| Other values (123) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 9.852459016 |
| Min length | 4 |
Characters and Unicode
| Total characters | 2404 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 72 ? |
|---|---|
| Unique (%) | 29.5% |
Sample
| 1st row | 2015-01-02 |
|---|---|
| 2nd row | 2015-01-06 |
| 3rd row | 2015-01-08 |
| 4th row | 2015-01-09 |
| 5th row | 2015-01-09 |
Common Values
| Value | Count | Frequency (%) |
| 2015-03-02 | 12 | 4.9% |
| 2015-03-06 | 8 | 3.3% |
| 2015-02-27 | 8 | 3.3% |
| 2015-03-05 | 7 | 2.9% |
| None | 6 | 2.5% |
| 2015-02-19 | 6 | 2.5% |
| 2015-03-30 | 5 | 2.0% |
| 2015-03-09 | 5 | 2.0% |
| 2015-02-20 | 4 | 1.6% |
| 2015-02-12 | 4 | 1.6% |
| Other values (118) | 179 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2015-03-02 | 12 | 4.9% |
| 2015-03-06 | 8 | 3.3% |
| 2015-02-27 | 8 | 3.3% |
| 2015-03-05 | 7 | 2.9% |
| none | 6 | 2.5% |
| 2015-02-19 | 6 | 2.5% |
| 2015-03-30 | 5 | 2.0% |
| 2015-03-09 | 5 | 2.0% |
| 2015-02-20 | 4 | 1.6% |
| 2015-02-12 | 4 | 1.6% |
| Other values (118) | 179 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 560 | |
| - | 476 | |
| 1 | 398 | |
| 2 | 386 | |
| 5 | 275 | |
| 3 | 102 | 4.2% |
| 9 | 51 | 2.1% |
| 4 | 44 | 1.8% |
| 6 | 39 | 1.6% |
| 7 | 26 | 1.1% |
| Other values (5) | 47 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1904 | |
| Dash Punctuation | 476 | 19.8% |
| Lowercase Letter | 18 | 0.7% |
| Uppercase Letter | 6 | 0.2% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 560 | |
| 1 | 398 | |
| 2 | 386 | |
| 5 | 275 | |
| 3 | 102 | 5.4% |
| 9 | 51 | 2.7% |
| 4 | 44 | 2.3% |
| 6 | 39 | 2.0% |
| 7 | 26 | 1.4% |
| 8 | 23 | 1.2% |
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 6 | |
| n | 6 | |
| e | 6 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 476 |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2380 | |
| Latin | 24 | 1.0% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 560 | |
| - | 476 | |
| 1 | 398 | |
| 2 | 386 | |
| 5 | 275 | |
| 3 | 102 | 4.3% |
| 9 | 51 | 2.1% |
| 4 | 44 | 1.8% |
| 6 | 39 | 1.6% |
| 7 | 26 | 1.1% |
Latin
| Value | Count | Frequency (%) |
| N | 6 | |
| o | 6 | |
| n | 6 | |
| e | 6 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2404 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 560 | |
| - | 476 | |
| 1 | 398 | |
| 2 | 386 | |
| 5 | 275 | |
| 3 | 102 | 4.2% |
| 9 | 51 | 2.1% |
| 4 | 44 | 1.8% |
| 6 | 39 | 1.6% |
| 7 | 26 | 1.1% |
| Other values (5) | 47 | 2.0% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.8 KiB |
| 1 | |
|---|---|
| 4 | |
| 2 | |
| 6 | |
| 8 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 0.9754098361 |
| Min length | 0 |
Characters and Unicode
| Total characters | 238 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 4 |
| 3rd row | 1 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.0% |
| 2 | 22 | 9.0% |
| 6 | 2.5% | |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.5% |
| 2 | 22 | 9.2% |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.5% |
| 2 | 22 | 9.2% |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 238 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.5% |
| 2 | 22 | 9.2% |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 238 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.5% |
| 2 | 22 | 9.2% |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 238 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 4 | 44 | 18.5% |
| 2 | 22 | 9.2% |
| 8 | 1 | 0.4% |
| 7 | 1 | 0.4% |
| Distinct | 47 |
|---|---|
| Distinct (%) | 87.0% |
| Missing | 190 |
| Missing (%) | 77.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10146.27778 |
| Minimum | 1 |
|---|---|
| Maximum | 100001 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 58.4 |
| Q1 | 231.25 |
| median | 548 |
| Q3 | 5520 |
| 95-th percentile | 82772.05 |
| Maximum | 100001 |
| Range | 100000 |
| Interquartile range (IQR) | 5288.75 |
Descriptive statistics
| Standard deviation | 24717.1395 |
|---|---|
| Coefficient of variation (CV) | 2.43607952 |
| Kurtosis | 8.181322948 |
| Mean | 10146.27778 |
| Median Absolute Deviation (MAD) | 460 |
| Skewness | 3.026917605 |
| Sum | 547899 |
| Variance | 610936985.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 301 | 3 | 1.2% |
| 64 | 3 | 1.2% |
| 200 | 2 | 0.8% |
| 112 | 2 | 0.8% |
| 480 | 2 | 0.8% |
| 800 | 1 | 0.4% |
| 310 | 1 | 0.4% |
| 320 | 1 | 0.4% |
| 810 | 1 | 0.4% |
| 576 | 1 | 0.4% |
| Other values (37) | 37 | 15.2% |
| (Missing) | 190 |
| Value | Count | Frequency (%) |
| 1 | 1 | 0.4% |
| 16 | 1 | 0.4% |
| 48 | 1 | 0.4% |
| 64 | 3 | |
| 80 | 1 | 0.4% |
| 96 | 1 | 0.4% |
| 112 | 2 | |
| 128 | 1 | 0.4% |
| 200 | 2 | |
| 208 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 100001 | 1 | |
| 100000 | 1 | |
| 93863 | 1 | |
| 76800 | 1 | |
| 42320 | 1 | |
| 17800 | 1 | |
| 15720 | 1 | |
| 13160 | 1 | |
| 12400 | 1 | |
| 12000 | 1 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.0 KiB |
| 4 | |
|---|---|
| 3 | 14 |
| 1 | 13 |
| 5 | 13 |
| Other values (2) | 9 |
Length
| Max length | 1 |
|---|---|
| Median length | 0 |
| Mean length | 0.2786885246 |
| Min length | 0 |
Characters and Unicode
| Total characters | 68 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | |
|---|---|
| 2nd row | 4 |
| 3rd row | |
| 4th row | 5 |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 176 | ||
| 4 | 19 | 7.8% |
| 3 | 14 | 5.7% |
| 1 | 13 | 5.3% |
| 5 | 13 | 5.3% |
| 2 | 5 | 2.0% |
| 6 | 4 | 1.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 19 | |
| 3 | 14 | |
| 1 | 13 | |
| 5 | 13 | |
| 2 | 5 | 7.4% |
| 6 | 4 | 5.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 19 | |
| 3 | 14 | |
| 5 | 13 | |
| 1 | 13 | |
| 2 | 5 | 7.4% |
| 6 | 4 | 5.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 68 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 19 | |
| 3 | 14 | |
| 5 | 13 | |
| 1 | 13 | |
| 2 | 5 | 7.4% |
| 6 | 4 | 5.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 68 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 19 | |
| 3 | 14 | |
| 5 | 13 | |
| 1 | 13 | |
| 2 | 5 | 7.4% |
| 6 | 4 | 5.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 68 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 19 | |
| 3 | 14 | |
| 5 | 13 | |
| 1 | 13 | |
| 2 | 5 | 7.4% |
| 6 | 4 | 5.9% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.1 KiB |
| 1 | |
|---|---|
| 99 | |
| 11 | 7 |
| 4 | 1 |
| Other values (2) | 2 |
Length
| Max length | 2 |
|---|---|
| Median length | 0 |
| Mean length | 0.3770491803 |
| Min length | 0 |
Characters and Unicode
| Total characters | 92 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 1.2% |
Sample
| 1st row | |
|---|---|
| 2nd row | 1 |
| 3rd row | |
| 4th row | 11 |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 178 | ||
| 1 | 37 | 15.2% |
| 99 | 19 | 7.8% |
| 11 | 7 | 2.9% |
| 4 | 1 | 0.4% |
| 2 | 1 | 0.4% |
| 3 | 1 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 37 | |
| 99 | 19 | |
| 11 | 7 | 10.6% |
| 4 | 1 | 1.5% |
| 2 | 1 | 1.5% |
| 3 | 1 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 51 | |
| 9 | 38 | |
| 3 | 1 | 1.1% |
| 4 | 1 | 1.1% |
| 2 | 1 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 92 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 51 | |
| 9 | 38 | |
| 3 | 1 | 1.1% |
| 4 | 1 | 1.1% |
| 2 | 1 | 1.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 92 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 51 | |
| 9 | 38 | |
| 3 | 1 | 1.1% |
| 4 | 1 | 1.1% |
| 2 | 1 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 92 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 51 | |
| 9 | 38 | |
| 3 | 1 | 1.1% |
| 4 | 1 | 1.1% |
| 2 | 1 | 1.1% |
| Distinct | 16 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.0 KiB |
| ARTESUNATO + MEFLOQUINA | 3 |
|---|---|
| ARTESUNATO+MEFLOQUINA | 2 |
| ARTESUNATO E MEFLOQUINA | 2 |
| ARTESU+MEFL+CLORIDRATO | 1 |
| Other values (11) | 11 |
Length
| Max length | 30 |
|---|---|
| Median length | 0 |
| Mean length | 1.823770492 |
| Min length | 0 |
Characters and Unicode
| Total characters | 445 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 12 ? |
|---|---|
| Unique (%) | 4.9% |
Sample
| 1st row | |
|---|---|
| 2nd row | |
| 3rd row | |
| 4th row | |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 225 | ||
| ARTESUNATO + MEFLOQUINA | 3 | 1.2% |
| ARTESUNATO+MEFLOQUINA | 2 | 0.8% |
| ARTESUNATO E MEFLOQUINA | 2 | 0.8% |
| ARTESU+MEFL+CLORIDRATO | 1 | 0.4% |
| ART+MEF+CLORIDRATO | 1 | 0.4% |
| ARTESUNARO + MEFLOQUINA | 1 | 0.4% |
| CLOROQUINA 3 E PRIMAQUINA 11 D | 1 | 0.4% |
| ARTESUNATO120+CLINDAMICINA45O | 1 | 0.4% |
| CLOROQUINA3DIAS PRIMAQUINA14DI | 1 | 0.4% |
| Other values (6) | 6 | 2.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| artesunato | 6 | |
| mefloquina | 6 | |
| 4 | 9.3% | |
| e | 4 | 9.3% |
| primaquina | 2 | 4.7% |
| artesunato+mefloquina | 2 | 4.7% |
| cloroq | 2 | 4.7% |
| mefloquina+artesunato | 1 | 2.3% |
| artesu+mefl+cloridrato | 1 | 2.3% |
| 3 | 1 | 2.3% |
| Other values (14) | 14 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 54 | |
| O | 38 | 8.5% |
| E | 31 | 7.0% |
| I | 31 | 7.0% |
| R | 30 | 6.7% |
| U | 30 | 6.7% |
| N | 30 | 6.7% |
| T | 28 | 6.3% |
| 24 | 5.4% | |
| M | 20 | 4.5% |
| Other values (14) | 129 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 389 | |
| Space Separator | 24 | 5.4% |
| Math Symbol | 17 | 3.8% |
| Decimal Number | 15 | 3.4% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 54 | |
| O | 38 | |
| E | 31 | |
| I | 31 | |
| R | 30 | 7.7% |
| U | 30 | 7.7% |
| N | 30 | 7.7% |
| T | 28 | 7.2% |
| M | 20 | 5.1% |
| Q | 20 | 5.1% |
| Other values (6) | 77 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 6 | |
| 3 | 3 | |
| 0 | 2 | 13.3% |
| 4 | 2 | 13.3% |
| 2 | 1 | 6.7% |
| 5 | 1 | 6.7% |
Space Separator
| Value | Count | Frequency (%) |
| 24 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 17 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 389 | |
| Common | 56 | 12.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 54 | |
| O | 38 | |
| E | 31 | |
| I | 31 | |
| R | 30 | 7.7% |
| U | 30 | 7.7% |
| N | 30 | 7.7% |
| T | 28 | 7.2% |
| M | 20 | 5.1% |
| Q | 20 | 5.1% |
| Other values (6) | 77 |
Common
| Value | Count | Frequency (%) |
| 24 | ||
| + | 17 | |
| 1 | 6 | 10.7% |
| 3 | 3 | 5.4% |
| 0 | 2 | 3.6% |
| 4 | 2 | 3.6% |
| 2 | 1 | 1.8% |
| 5 | 1 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 445 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 54 | |
| O | 38 | 8.5% |
| E | 31 | 7.0% |
| I | 31 | 7.0% |
| R | 30 | 6.7% |
| U | 30 | 6.7% |
| N | 30 | 6.7% |
| T | 28 | 6.3% |
| 24 | 5.4% | |
| M | 20 | 4.5% |
| Other values (14) | 129 |
| Distinct | 51 |
|---|---|
| Distinct (%) | 20.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.1 KiB |
| None | |
|---|---|
| 2015-02-19 | 6 |
| 2015-03-02 | 4 |
| 2015-02-12 | 3 |
| 2015-05-05 | 3 |
| Other values (46) |
Length
| Max length | 10 |
|---|---|
| Median length | 4 |
| Mean length | 5.647540984 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1378 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 42 ? |
|---|---|
| Unique (%) | 17.2% |
Sample
| 1st row | None |
|---|---|
| 2nd row | 2015-01-06 |
| 3rd row | None |
| 4th row | 2015-01-09 |
| 5th row | None |
Common Values
| Value | Count | Frequency (%) |
| None | 177 | |
| 2015-02-19 | 6 | 2.5% |
| 2015-03-02 | 4 | 1.6% |
| 2015-02-12 | 3 | 1.2% |
| 2015-05-05 | 3 | 1.2% |
| 2015-03-05 | 3 | 1.2% |
| 2015-02-23 | 2 | 0.8% |
| 2015-01-12 | 2 | 0.8% |
| 2015-04-06 | 2 | 0.8% |
| 2015-04-07 | 1 | 0.4% |
| Other values (41) | 41 | 16.8% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| none | 177 | |
| 2015-02-19 | 6 | 2.5% |
| 2015-03-02 | 4 | 1.6% |
| 2015-02-12 | 3 | 1.2% |
| 2015-05-05 | 3 | 1.2% |
| 2015-03-05 | 3 | 1.2% |
| 2015-02-23 | 2 | 0.8% |
| 2015-01-12 | 2 | 0.8% |
| 2015-04-06 | 2 | 0.8% |
| 2015-04-07 | 1 | 0.4% |
| Other values (41) | 41 | 16.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| N | 177 | |
| o | 177 | |
| n | 177 | |
| e | 177 | |
| 0 | 155 | |
| - | 134 | |
| 1 | 121 | |
| 2 | 109 | |
| 5 | 82 | |
| 3 | 21 | 1.5% |
| Other values (5) | 48 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 536 | |
| Lowercase Letter | 531 | |
| Uppercase Letter | 177 | 12.8% |
| Dash Punctuation | 134 | 9.7% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 155 | |
| 1 | 121 | |
| 2 | 109 | |
| 5 | 82 | |
| 3 | 21 | 3.9% |
| 9 | 15 | 2.8% |
| 4 | 12 | 2.2% |
| 6 | 10 | 1.9% |
| 8 | 6 | 1.1% |
| 7 | 5 | 0.9% |
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 177 | |
| n | 177 | |
| e | 177 |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 177 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 134 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 708 | |
| Common | 670 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 155 | |
| - | 134 | |
| 1 | 121 | |
| 2 | 109 | |
| 5 | 82 | |
| 3 | 21 | 3.1% |
| 9 | 15 | 2.2% |
| 4 | 12 | 1.8% |
| 6 | 10 | 1.5% |
| 8 | 6 | 0.9% |
Latin
| Value | Count | Frequency (%) |
| N | 177 | |
| o | 177 | |
| n | 177 | |
| e | 177 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1378 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| N | 177 | |
| o | 177 | |
| n | 177 | |
| e | 177 | |
| 0 | 155 | |
| - | 134 | |
| 1 | 121 | |
| 2 | 109 | |
| 5 | 82 | |
| 3 | 21 | 1.5% |
| Other values (5) | 48 | 3.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| TP_NOT | ID_AGRAVO | DT_NOTIFIC | SEM_NOT | NU_ANO | SG_UF_NOT | ID_MUNICIP | ID_REGIONA | ID_UNIDADE | DT_SIN_PRI | SEM_PRI | DT_NASC | NU_IDADE_N | CS_SEXO | CS_GESTANT | CS_RACA | CS_ESCOL_N | SG_UF | ID_MN_RESI | ID_RG_RESI | ID_PAIS | DT_INVEST | ID_OCUPA_N | CLASSI_FIN | AT_ATIVIDA | AT_LAMINA | AT_SINTOMA | TPAUTOCTO | COUFINF | COPAISINF | COMUNINF | LOC_INF | DEXAME | RESULT | PMM | PCRUZ | TRA_ESQUEM | DSTRAESQUE | DTRATA | DT_ENCERRA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2 | B54 | 2015-01-02 | 201453 | 2015 | 33 | 330455 | 5476321 | 2014-12-31 | 201453 | 2012-07-16 | 4002 | M | 6 | 4 | 10 | 33 | 330455 | 1 | NaT | 2 | 11 | 1 | 1 | 0 | 2015-01-02 | 1 | NaN | None | NaT | ||||||||||
| 1 | 2 | B54 | 2015-01-06 | 201501 | 2015 | 33 | 330455 | 2288338 | 2014-12-22 | 201452 | 1979-05-11 | 4035 | F | 5 | 1 | 08 | 33 | 330070 | 1 | NaT | 221105 | 1 | 10 | 2 | 1 | 2 | AM | 1 | 130260 | 2015-01-06 | 4 | 5040.0 | 4 | 1 | 2015-01-06 | NaT | ||||
| 2 | 2 | B54 | 2015-01-08 | 201501 | 2015 | 33 | 330610 | 3211649 | 2014-12-20 | 201451 | 1947-07-18 | 4067 | M | 6 | 1 | 08 | 33 | 330610 | 1 | NaT | 2 | 4 | 1 | 1 | 0 | 2015-01-08 | 1 | NaN | None | NaT | ||||||||||
| 3 | 2 | B54 | 2015-01-09 | 201501 | 2015 | 33 | 330455 | 2273365 | 2015-01-05 | 201501 | 1976-07-17 | 4038 | M | 6 | 2 | 07 | 33 | 330455 | 1 | NaT | 782305 | 1 | 11 | 2 | 1 | 2 | 31 | LUAN | 2015-01-09 | 2 | 11307.0 | 5 | 11 | 2015-01-09 | NaT | |||||
| 4 | 2 | B54 | 2015-01-09 | 201501 | 2015 | 33 | 330455 | 3005992 | 2015-01-08 | 201501 | 1984-02-21 | 4030 | M | 6 | 4 | 08 | 33 | 330455 | 1 | NaT | 262105 | 2 | 10 | 2 | 1 | 0 | 2015-01-09 | 1 | NaN | None | NaT | |||||||||
| 5 | 2 | B54 | 2015-01-12 | 201502 | 2015 | 33 | 330455 | 2288338 | 2015-01-05 | 201501 | 1974-04-27 | 4040 | M | 6 | 9 | 33 | 330330 | 1 | NaT | 1 | 11 | 3 | 1 | 2 | 128 | 2015-01-12 | 2 | 16.0 | 1 | 99 | ARTESUNARO + MEFLOQUINA | 2015-01-12 | NaT | |||||||
| 6 | 2 | B54 | 2015-01-12 | 201502 | 2015 | 33 | 330455 | 2270609 | 2015-01-09 | 201501 | 1974-04-20 | 4040 | F | 5 | 9 | 09 | 33 | 330455 | 1 | NaT | 516125 | 1 | 10 | 2 | 1 | 2 | 31 | LUAN | 2015-01-12 | 2 | 467.0 | 3 | 99 | MEFLOQUINA+ARTESUNATO | 2015-01-12 | NaT | ||||
| 7 | 2 | B54 | 2015-01-12 | 201502 | 2015 | 33 | 330610 | 3211649 | 2015-01-10 | 201501 | 1949-07-18 | 4065 | M | 6 | 1 | 08 | 33 | 330610 | 1 | NaT | 141405 | 2 | 11 | 2 | 1 | 0 | 2015-01-12 | 1 | NaN | None | NaT | |||||||||
| 8 | 2 | B54 | 2015-01-13 | 201502 | 2015 | 33 | 330455 | 5462886 | 2015-01-11 | 201502 | 1962-04-19 | 4052 | F | 6 | 4 | 06 | 33 | 330455 | 1 | NaT | 2 | 10 | 1 | 1 | 0 | 2015-01-13 | 1 | NaN | None | NaT | ||||||||||
| 9 | 2 | B54 | 2015-01-19 | 201503 | 2015 | 33 | 330455 | 2288338 | 2015-01-15 | 201502 | 1981-08-05 | 4033 | M | 6 | 1 | 08 | 33 | 330630 | 1 | NaT | 1 | 10 | 2 | 1 | 2 | 22 | 2015-01-19 | 2 | 2320.0 | 4 | 11 | 2015-01-19 | NaT |
Last rows
| TP_NOT | ID_AGRAVO | DT_NOTIFIC | SEM_NOT | NU_ANO | SG_UF_NOT | ID_MUNICIP | ID_REGIONA | ID_UNIDADE | DT_SIN_PRI | SEM_PRI | DT_NASC | NU_IDADE_N | CS_SEXO | CS_GESTANT | CS_RACA | CS_ESCOL_N | SG_UF | ID_MN_RESI | ID_RG_RESI | ID_PAIS | DT_INVEST | ID_OCUPA_N | CLASSI_FIN | AT_ATIVIDA | AT_LAMINA | AT_SINTOMA | TPAUTOCTO | COUFINF | COPAISINF | COMUNINF | LOC_INF | DEXAME | RESULT | PMM | PCRUZ | TRA_ESQUEM | DSTRAESQUE | DTRATA | DT_ENCERRA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 234 | 2 | B54 | 2015-12-11 | 201549 | 2015 | 33 | 330455 | 2288338 | 2015-12-08 | 201549 | 1978-06-24 | 4037 | M | 6 | 1 | 08 | 33 | 330455 | 1 | NaT | 253105 | 1 | 10 | 1 | 1 | 2 | 28 | 2015-12-11 | 2 | NaN | 5 | 99 | ARTESUNATO | 2015-12-11 | NaT | |||||
| 235 | 2 | B54 | 2015-12-11 | 201549 | 2015 | 33 | 330240 | 2276534 | 2015-12-08 | 201549 | 1958-01-13 | 4057 | M | 6 | 1 | 09 | 33 | 330240 | 1 | NaT | 2 | 11 | 1 | 2 | 0 | 2015-12-11 | 1 | NaN | None | NaT | ||||||||||
| 236 | 2 | B54 | 2015-12-14 | 201550 | 2015 | 33 | 330455 | 5462886 | 2015-12-11 | 201549 | 1964-02-26 | 4051 | F | 6 | 1 | 09 | 33 | 330455 | 1 | NaT | 354145 | 2 | 10 | 2 | 1 | 0 | 2015-12-14 | 1 | NaN | None | NaT | |||||||||
| 237 | 2 | B54 | 2015-12-14 | 201550 | 2015 | 33 | 330455 | 2288338 | 2015-12-04 | 201548 | 1980-02-23 | 4035 | M | 6 | 1 | 08 | 33 | 330330 | 1 | NaT | 521110 | 2 | 10 | 1 | 1 | 0 | 2015-12-14 | 1 | NaN | None | NaT | |||||||||
| 238 | 2 | B54 | 2015-12-15 | 201550 | 2015 | 33 | 330455 | 2288338 | 2015-11-12 | 201545 | 1943-07-17 | 4072 | M | 6 | 1 | 06 | 33 | 330455 | 1 | NaT | 2 | 11 | 1 | 1 | 0 | 2015-12-15 | 1 | NaN | None | NaT | ||||||||||
| 239 | 2 | B54 | 2015-12-16 | 201550 | 2015 | 33 | 330455 | 2288338 | 2015-12-12 | 201549 | 1943-07-15 | 4072 | M | 6 | 9 | 08 | 33 | 330455 | 1 | NaT | 214405 | 2 | 10 | 1 | 1 | 0 | 2015-12-16 | 1 | NaN | None | NaT | |||||||||
| 240 | 2 | B54 | 2015-12-17 | 201550 | 2015 | 33 | 330455 | 5462886 | 2015-12-16 | 201550 | 1958-05-08 | 4057 | M | 6 | 1 | 07 | 33 | 330455 | 1 | NaT | 2 | 10 | 1 | 1 | 0 | 2015-12-17 | 1 | NaN | None | NaT | ||||||||||
| 241 | 2 | B54 | 2015-12-18 | 201550 | 2015 | 33 | 330455 | 2288338 | 2015-09-17 | 201537 | 1987-07-31 | 4028 | M | 6 | 9 | 06 | 33 | 330455 | 1 | NaT | 711405 | 1 | 5 | 3 | 1 | 2 | 138 | 2015-12-18 | 4 | 5680.0 | 4 | 1 | 2015-12-18 | NaT | ||||||
| 242 | 2 | B54 | 2015-12-21 | 201551 | 2015 | 33 | 330455 | 2288338 | 2015-12-14 | 201550 | 1962-09-03 | 4053 | M | 6 | 9 | 09 | 33 | 330455 | 1 | NaT | 2 | 10 | 1 | 1 | 0 | 2015-12-21 | 1 | NaN | None | NaT | ||||||||||
| 243 | 2 | B54 | 2015-12-26 | 201551 | 2015 | 33 | 330455 | 2269546 | 2015-12-25 | 201551 | 1969-07-11 | 4046 | M | 6 | 9 | 09 | 33 | 330455 | 1 | NaT | 998999 | 2 | 9 | 1 | 1 | 0 | 2015-12-26 | 1 | NaN | None | NaT |